APPLICATION OF SUPERVISED LEARNING
UNSUPERVISED LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Top down approach
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Bottom up approach
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Both of these
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None of these
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Detailed explanation-1: -Agglomerative: This is a “bottom-up” approach: Each observation starts in its own cluster, and pairs of clusters are merged as one moves up the hierarchy. Divisive: This is a “top-down” approach: All observations start in one cluster, and splits are performed recursively as one moves down the hierarchy.
Detailed explanation-2: -Agglomerative approach: This method is also called a bottom-up approach shown in Figure 6.7. In this method, each node represents a single cluster at the beginning; eventually, nodes start merging based on their similarities and all nodes belong to the same cluster.
Detailed explanation-3: -Top down clustering is a strategy of hierarchical clustering. The result of this operator is an hierarchical cluster model.